GoEQIPD Networking Event: Advancing FAIR Data Sharing Through Interoperability, Metadata, and Community Standards
Last Monday, the GoEQIPD community came together for our online networking event on Data Sharing in Research to exchange experiences, discuss barriers, and explore practical solutions for improving the quality, reuse, and impact of research data.
A big thank you to everyone who joined and contributed to the discussions.
Special thanks to Otto Kalliokoski for sharing insights from the TeaTime systematic review on behavioural data and to Heidrun Potschka for an excellent presentation on interoperability and the role of Common Data Elements (CDEs) and Case Report Forms (CRFs) as practical tools to improve harmonisation, metadata quality, and cross study reuse of data.
Throughout the event, we reflected on the growing importance of FAIR data principles and discussed how structured documentation, rich metadata, harmonised workflows, and transparent research practices can improve data sharing and reproducibility. We also explored persistent challenges including heterogeneous metadata, inconsistent terminology, incomplete documentation, adoption barriers, and balancing standardisation with flexibility.
The interactive discussion, facilitated by Kim Wever who presented the outcome of the breakout session on a Miro Board and supported by all participants, highlighted practical ideas for the future: stronger incentives for data sharing, more user friendly tools and infrastructure, training, community standards, and better coordination across initiatives.
A special thank you also to Benoit Petit-Demoulière for sharing perspectives on FAIR3R and broader efforts around data stewardship and research ecosystems.
For everyone interested in continuing the discussion, we collected a number of resources shared during the event below, including webinars, tools, repositories, and further reading.
Some useful links shared during the presentation by Heidrun Potschka:
TeaTime Webinar
https://www.helsinki.fi/fi/unitube/video/540e9b0c-9968-45b1-9499-6eb1620b0f6b
Damien Huzard & Benoit Petit-Demouliere /WELLFAIR – ‚Data Care is the New Frontier of Animal Welfare‘
Data welfare is animal welfare:
Building a WellFAIR research ecosystem 2026
Neuroscience Applied Petit-Demoulière B, Huzard D
doi.org/10.1016/j.nsa.2026.106998Source
Data Sharing and Metadata 2026
Home Cage Monitoring in Rodents: A Global Effort
Forrest H, Huzard D, Restivo L, Baran SW, Petit-Demoulière B
doi.org/10.1007/978-3-032-19781-8_10Source